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<table width="100%" summary="page for admit"><tr><td>admit</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>Applications to a Political Science PhD Program</h2>

<h3>Description</h3>

<p>Ordinal ratings (faculty evaluations) of applicants to a Political Science PhD
Program.</p>


<h3>Usage</h3>

<pre>data(admit)</pre>


<h3>Format</h3>

<p>A data frame with 106 observations on the following 6 variables.
</p>

<dl>
<dt><code>score</code></dt><dd><p>an ordered factor with levels <code>1</code> &lt; <code>2</code> &lt; <code>3</code> &lt; <code>4</code> &lt; <code>5</code></p>
</dd>
<dt><code>gre.quant</code></dt><dd><p>applicant's score on the quantitative
section of the GRE; the maximum score is 800</p>
</dd>
<dt><code>gre.verbal</code></dt><dd><p>applicant's score on the verbal section of
the GRE; the maximum score is 800</p>
</dd>
<dt><code>ap</code></dt><dd><p>1 if the applicant indicated an interest in
American politics; 0 otherwise</p>
</dd>
<dt><code>pt</code></dt><dd><p>1 if the applicant indicated an interest in
Political Theory; 0 otherwise</p>
</dd>
<dt><code>female</code></dt><dd><p>1 for female applicants; 0 otherwise</p>
</dd>
</dl>



<h3>References</h3>

<p>Jackman, Simon.  2004.  &quot;What Do We Learn From Graduate
Admissions Committees?: A Multiple-Rater, Latent Variable Model, with
Incomplete Discrete and Continuous Indicators.&quot;  <em>Political
Analysis</em>.  12(4):400-424.  </p>


<h3>Examples</h3>

<pre>
data(admit)
summary(admit)
## ordered probit model
op1 &lt;- MASS::polr(score ~ gre.quant + gre.verbal + ap + pt + female,
            Hess=TRUE,
            data=admit,
            method="probit")
summary(op1)
hitmiss(op1)
logLik(op1)
pR2(op1)   
</pre>


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